Integrated Command and Control Centre

Context (IE): Earlier this month, the Agriculture Minister opened the Krishi Integrated Command and Control Centre (ICCC) at Krishi Bhavan in New Delhi.
It is a big-screen dashboard showcasing all digital innovations in the agricultural sector.

The ICCC is a technology-driven solution with various IT applications and platforms.
The ICCC employs advanced technologies like artificial intelligence, remote sensing, and Geographic Information Systems (GIS).
It’s located in the Ministry of Agriculture & Farmers’ Welfare.
Various information provided: Crop yields, production, drought situation, cropping patterns (geographic region-wise and year-wise) in map, Key Performance Indicators (KPIs), and receive insights, alerts, and feedback on agriculture schemes, programmes, projects, and initiatives.
The ICCC uses platforms, including the Krishi Decision Support System (DSS), to collect micro-level data, process it, and present the macro picture.
The ICCC gathers geospatial information from various sources like remote sensing, soil surveys, and weather data from the IMD.
It also collects sowing data from the Digital Crop Survey and farmer-related data from Krishi MApper.
Additionally, it includes market intelligence from the Unified Portal for Agricultural Statistics (UPAg) and yield estimation data from the General Crop Estimation Survey (GCES).
This comprehensive data visualisation allows for quick decision-making.
The ICCC ecosystem can potentially integrate with the PM-Kisan chatbot in the future.

Krishi MApper is an application for geo-fencing and geo-tagging of land.

Farmer’s advisory: The ICCC provides farmers with personalised advice by combining soil carbon mapping and soil health card data with IMD weather data.
- Further, ICCC can set up a system to create personalized advisories for individual farmers using apps like Kisan e-mitra.
- The system, based on AI and machine learning, will identify farmers using their mobile numbers or Aadhaar and match them with their field information from land records & historical crop data.
- It will then produce customised advisories in the farmer’s local language, facilitated by the Bhashini platform, which supports translation into various Indian languages.
Drought management: The ICCC correlates yield changes with weather patterns to help officials understand and address yield fluctuations.
Crop diversification: Analyzing crop diversification maps helps identify areas suitable for different crops, aiding in advising farmers accordingly.
Farm data repository: The Krishi Decision Support System (K-DSS) acts as an agriculture data repository, using AI and ML models to support evidence-based decision-making and provide customised advice.
Validation of yield: Krishi MApper data can be compared with GCES yield data to validate yield information.